KR20190097346A - Apparatus and method for schedule management with content recommendation functionality - Google Patents

Abstract

The present invention relates to an apparatus for managing a schedule and a method for recommending content used in a personal computer or a mobile communication terminal device and, more specifically, to an apparatus for managing a schedule and a method for recommending content which search and recommend external content suitable for a schedule by utilizing detailed information such as a title, type, time, and the like of the inputted schedule. The apparatus comprises: a schedule registration unit; a content recommendation unit; and a content provider search interface.

Description

{Apparatus and method for schedule management with content recommendation functionality}

The present invention relates to a schedule management device and a content recommendation method used in a personal computer or a mobile communication terminal device. More particularly, the present invention utilizes detailed schedule information such as the type, time, and purpose of a schedule input by a user and a recommendation knowledge base. A schedule management device for recommending content suitable for a schedule and a content recommendation method.

The schedule management method that began by recording places, tasks, etc. in diaries, desktop calendars, etc. has evolved into a schedule management program with the appearance of personal computers, and a schedule management app is basically provided in smartphones and tablet PCs. With the development of the intranet and the Internet, schedules input from one device can be viewed / modified on all devices owned by the user.In the case of multiple attendances, the schedules created by others are delivered to others or returned to participate in the schedules created by others. The ability to create and send and receive emails has become a basic way of life, similar to writing and sending emails.

Various search services that can search, search or book places, facilities or offline services on the Internet have emerged, replacing the existing 114 cross-based phone number retrieval services. It is called O2O (on-line to off-line) search service because it can search offline places, facilities and services online. If the existing telephone number based 114 service was an integrated search service for all businesses, O2O Search services are primarily targeted at businesses in specific industries. For example, there are a number of restaurant search services that can search restaurants in the country by region and type of food, and search menus and prices, including menu board.com, dining codes, food hot places, and mango plates. You can search for properties around the country by region and type of accommodation, search for prices and availability, and search for accommodations. Hotels.com, Interpark Tours, Airbnb, Condo.com, Here, Pension Life exist. Unlike the restaurant search service, the accommodation search service has a number of services that can be searched for a specific type of accommodation. For example, Condo.com can only search for condo-type accommodations, and Pension Life can only search for pension-type accommodations.

A schedule often requires a place, a facility, or offline services, such as a restaurant or accommodation, to make a reservation in advance. For example, a quarterly meeting that meets once a quarter schedules a restaurant or bar in advance, while family and relatives travel together to book accommodation and rental cars. The present invention relates to an apparatus and method for finding and recommending offline places, facilities and services suitable for a schedule. Offline locations, facilities, and services may be collectively referred to as content, and if the region and the date and time are determined from the detailed information of the schedule, offline contents may be searched through the O2O search services.

However, the conditions for recommending suitable places, facilities, and offline services for the schedule are not enough with only two details, local and dated. This is because there is a suitable content type or an inappropriate content type depending on the type and size of the schedule. For example, if you want to recommend a restaurant for 10 attendees for the same meeting, a meal or Japanese restaurant is not suitable because of the wrong price range or table layout, so it is preferable to exclude it by the restaurant type search criteria. In addition, it is advisable to limit the accommodation type search to hotels only, as hotels, such as condos, pensions, and bed and breakfasts, are not suitable for business trips due to their size and facilities.

The knowledge base can be defined as a database that stores the expertise accumulated through intellectual activities and experiences related to the field in which the artificial intelligence agent is used, and the facts and rules necessary to solve the problem. The present invention discloses an apparatus and method for recommending content suitable for a schedule by using a knowledge base constructed to recommend content suitable for a schedule type and scale. According to the above definition, the artificial intelligence agent is a recommendation apparatus disclosed by the present invention, and the field to be used is a schedule defining a meeting or a to-do, and the facts and rules necessary for the expertise and problem solving correspond to various detailed types of the schedule. As a result, it is desirable to collect a plurality of experiences about individual content and derive it by a statistical method.

An object of the present invention is to provide a schedule management device and a content recommendation method for recommending content suitable for a schedule by analyzing schedule types and detailed information in a process of registering information about a meeting or a to-do schedule.

Schedule management apparatus according to an embodiment of the present invention for solving this problem is a schedule registration unit for receiving the schedule details such as the title, start time, end time, location, attendees from the user to present a list of recommended content to the user, When the schedule input is completed, the content recommendation unit which analyzes the input schedule details and determines the search target and creates a search condition to search the contents suitable for the schedule, and searches the contents of external content providers and delivers the search results. Include search interfaces.

When the schedule registration unit completes input of the schedule detail information, the schedule registration unit transmits the schedule recommendation to the content recommendation unit. It can be configured to present the list of content to be delivered to the user.

The content recommendation unit receives the schedule detail information from the schedule registration unit to determine the type of the schedule and analyzes the schedule detail information to determine whether the content recommendation of a place, a facility, an offline service, etc. is necessary, and whether the schedule detail information required for the recommendation should be added. To determine the external content providers to search, to create a search condition for the search, to execute the search, and to deliver the resulting list of contents to the schedule register for user selection. It can be configured to be added as the detailed information of the schedule according.

The content provider search interface may be configured to send a search command to content providers such as an O2O search service and receive a search result via a communication network. Content providers generally have different content providers according to the type of schedule, and there are a plurality of content providers searching for different types of content even within one type of schedule, so the content provider search interface searches multiple content providers. A set of interfaces.

According to an embodiment of the present disclosure, a method for recommending content suitable for a schedule may include: receiving, by a schedule management apparatus, a schedule from a user, determining a schedule type, extracting schedule details, and determining whether content recommendation is possible; If a recommendation is available, receiving a response from the user as to whether or not to accept the content recommendation, checking for any missing event details required for the content recommendation, inferring the missing event details on its own or receiving input from the user, Determining the content search target and generating a search condition using the determined schedule type and the input schedule details, and sending a search command and generating a content list to the external content providers determined as the search target. , And a list of eligible content It comprises at least part of the step of sihayeo like.

As described above, according to the schedule management apparatus and the method for recommending contents suitable for a schedule, when a user who inputs a schedule needs to find contents such as a place, a facility, and an offline service required for the schedule, O2O search is performed. Many content providers, such as services, automatically search for and recommend appropriate content, so users can find a search service according to a certain type and solve the trouble of having to compare a result by inputting a search word in a plurality of search services.

In addition, by using a recommendation knowledge base that is collected in a statistical manner by collecting a large number of experiences as a method for recommending content suitable for the schedule, it is beyond the limits of personal experience and common sense compared to the user searching and selecting content. Differentiate that you can find many different contents.

For example, if you book a restaurant for a quarterly meeting, a pension for a family trip, or a bus seat for a local business trip, The need for content varies. In the method for recommending content suitable for a schedule proposed in the present invention, when a schedule input is completed during a schedule registration process, the input schedule details are interpreted so that suitable content can be easily found without inputting a search word related to the content type.

1 is a schematic configuration diagram of a schedule management device having a content recommendation function according to an embodiment of the present invention.
FIG. 2 is a detailed configuration diagram of the content recommendation unit shown in FIG. 1.
3 is a flowchart illustrating an operation of analyzing a schedule detailed information after receiving a schedule and inferring additional detailed information by itself or recommending content by a schedule management apparatus having a content recommendation function according to an exemplary embodiment of the present invention. .

The terms or words used in this specification and claims are not to be construed as limiting in their usual or dictionary meanings, and the inventors may appropriately define the concept of terms in order to best explain their invention in the best way possible. It should be interpreted as meaning and concept corresponding to the technical idea of the present invention based on the principle that the present invention.

Therefore, the embodiments described in the present specification and the configuration shown in the drawings are only the most preferred embodiments of the present invention, and do not represent all of the technical idea of the present invention, and various equivalents may be substituted for them at the time of the present application. It should be understood that there may be water and variations.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention;

1 is a schematic block diagram of a schedule management device having a content recommendation function according to an embodiment of the present invention.

As shown in FIG. 1, a schedule management apparatus according to an embodiment of the present invention receives schedule detailed information from a user, analyzes the schedule register 100 and schedule details showing the recommended content to the user, and searches for appropriate contents. And a content recommendation unit 200 for determining a search target and generating a search condition, and a plurality of types of content provider search interfaces 300a to 300n.

The schedule register 100 serves as a user interface for managing schedules. More specifically, it receives the schedule details such as title, start time, end time, location, and attendees, passes them to the content recommendation unit, and adds detailed information necessary for recommendation and whether the user wants a recommendation according to the result of the interpretation of the schedule of the content recommendation unit. And the user can present a list of contents delivered by the content recommendation unit.

The content recommendation unit 200 receives schedule detailed information from the schedule registration unit, determines the type of the schedule, and analyzes the schedule detailed information to determine whether content recommendation such as a place, a facility, and an offline service is necessary, and schedule detailed information required for the recommendation is added. Determine whether it should be. In addition, the content recommender 200 determines an external content provider to be searched in order to recommend content suitable for a schedule, generates a search condition required for the search, and transmits a search command to schedule the content list obtained as a result. It can be added to the schedule details according to the user's choice.

The content recommendation unit 200 determines one or more content providers to be searched, generates a search condition, and executes a content search through the content provider search interfaces 300a to 300n (300). The content provider search interface 300 transmits a search command to a content provider through a communication network and receives a search result. The communication network includes a local area network (LAN), a metropolitan area network (MAN), and a wide area network. (Wide area network (WAN), the Internet, etc.) The communication method is wired or wireless, and any communication method can be used.

Hereinafter, an operation of a device for recommending content suitable for a schedule when a schedule is input using the schedule management apparatus according to an embodiment of the present invention will be described in more detail.

FIG. 2 is a detailed configuration diagram of the content recommendation unit illustrated in FIG. 1, and as illustrated, the content recommendation unit 200 includes a constant analysis unit 210, a search execution unit 220, a recommendation result storage 230, and recommendation knowledge. And base 240.

The schedule analysis unit 210 includes a schedule type classification module 211 for classifying a schedule type by analyzing a schedule input by a user and a detailed information analysis module 212 for analyzing schedule detailed information required for recommendation. The schedule type classification module 211 determines the type of the schedule by using schedule detailed information such as the title, time, and location of the schedule. Types of schedules include personal activities such as appointments, meetings, trips, business trips, etc. between individuals. A preferred implementation technique of certain type classification module is a machine learning based classifier. The detailed information analysis module 212 extracts detailed schedule information from the title of the schedule and the schedule time, place, and attendees. In the schedule management program or the schedule management app, there are screens for inputting the time, place, and attendees of the schedule individually, but users do not enter the details of the schedule individually, but describe the details in the title of the schedule in natural language. Since there are many, the detailed information analysis module may extract detailed information from a title of a certain schedule by using natural language processing technology. The schedule analyzer analyzes the input schedule to determine whether it is possible to recommend it and whether additional schedule details are required for the recommendation. If additional detailed information is needed, the detailed information analysis module may infer necessary information or receive input from the user.

The recommendation result storage 230 stores past schedules and recommendation results, and reuses the past information when a similar schedule exists when the schedule interpreter determines whether it is possible to recommend the recommendation and whether additional schedule details are required for the recommendation. Do it. For example, if a synchronous meeting with 10 or more attendees occurs every quarter, even if the time and area are not given, the synchronous meeting can be used to recycle historical information without receiving additional schedule details from the user. Determine search targets and create search conditions to make recommendations.

The search execution unit 220 includes a search target determination module 221 for determining an external content provider to be searched according to a schedule type and a search condition generation module 222 for generating a content search condition suitable for a schedule. do. The search target determination module 221 determines a search target by matching a content type, a schedule type, and additional attributes held by each content provider. For example, if the schedule type is a business trip and the additional attribute is 1, the search target is limited to the hotel search services among the accommodation search services. The search condition generation module 222 generates a search condition by matching the content type with a certain type and additional attributes. For example, a synchronous meeting with around 10 people can create a search condition to exclude small snacks and Japanese restaurants of different sizes or price ranges from being searched, allowing the search restaurant to search for content that fits the schedule. .

The recommendation knowledge base 240 is a collection of experiences, knowledge, and rules on the use of the content that is inquired when determining a search target and generating a search condition. One preferred embodiment of the recommendation knowledge base of the present invention is to collect documents on the Internet in the form of blogs or articles, and to statistically quantify the experience of using contents of many people. For example, the type of restaurant that is suitable for a meeting can be found by searching for blogs or articles written about the meeting and then researching the types of places where the meeting is held. Store in

Hereinafter, a process of recommending content using a schedule management apparatus according to an embodiment of the present invention will be described.

3 is a flowchart illustrating an operation of analyzing a schedule detailed information and inferring additional detailed information or recommending content by a schedule management device having a content recommendation function according to an embodiment of the present invention.

As shown in FIG. 3, when the user inputs a schedule (S300), the schedule management apparatus according to the present invention determines the type of the schedule and extracts the schedule detail information (S310).

Next, if it is possible to determine whether the content can be recommended according to the schedule type and the detailed information, and if the recommendation is possible, the user may receive a response as to whether to accept the content recommendation (S320).

If it is determined that the content suitable for the input schedule can be recommended and the user accepts the content recommendation ('yes' in step S320), check whether there is a schedule detail information required for the recommendation (S330) ('Yes' in step S330) It deduces itself or receives necessary schedule detailed information from the user (S340).

Using the determined schedule type and the input schedule detailed information, a content search target is determined through the recommended knowledge base, and a search condition is generated (S350).

When a search command is sent to a search condition generated to an external content provider determined as a search target, a content list is obtained as a result of the search execution (S360), and is displayed to the user as recommended content suitable for a schedule (S370).

Another embodiment of the present invention includes a computer readable medium including program instructions for performing various computer-implemented operations. This medium records a program for recommending content suitable for the schedule described so far. The media may include, alone or in combination with the program instructions, data files, data structures, and the like. Examples of such media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CDs and DVDs, floppy disks and program commands such as magnetic-optical media, ROM, RAM and flash memory. Hardware devices configured to store and perform such operations. Alternatively, the medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

The foregoing detailed description illustrates the present invention. In addition, the foregoing description merely shows and describes preferred embodiments of the present invention, and the present invention can be used in various other combinations, modifications, and environments. That is, changes or modifications may be made within the scope of the concept of the invention disclosed in this specification, the scope equivalent to the disclosed contents, and / or the skill or knowledge in the art. The above-described embodiments are for explaining the best state in carrying out the present invention, the use of other inventions such as the present invention in other state known in the art, and the specific fields of application and uses of the invention are required. Various changes are also possible. Thus, the detailed description of the invention is not intended to limit the invention to the disclosed embodiments. Also, the appended claims should be construed to include other embodiments.

100: schedule registration, 200: content recommendation,
300: content provider search interface

Claims (6)

As a schedule management device that recommends content suitable for a schedule,
An event register that receives event details and presents a list of recommended content to the user,
When the schedule details are input, the content recommendation unit for analyzing the schedule details to determine the search target and to create a search condition,
And a content provider search interface for sending a search command to content providers via a communication network and receiving a search result. In claim 1,
The schedule registration unit schedule management unit to receive additional schedule details when the schedule details required for content recommendation is missing. In claim 1,
The content recommendation unit may include a recommendation result store, and may use the schedule detail information of the past and recommendation results to infer missing schedule detail information when a similar schedule exists. In claim 1,
The content recommendation unit determines a content search target by using a type of content suitable for various schedule types, including a recommendation knowledge base, and generates a content search condition. As a way to recommend content that fits your schedule,
Receiving, by the schedule management device, a schedule from a user;
Determining the type of schedule and extracting schedule details;
Determining whether the content can be recommended and if the recommendation is available, receiving a response from the user regarding whether the content has been approved or not;
Check for missing event details for content recommendations;
Infer missing event details or receive input from the user,
Using the determined schedule type and the input schedule details, determining a content search target and generating a search condition;
Sending a search command to a search condition generated to an external content provider determined to be searched and obtaining a content list;
And presenting and recommending to the user by a list of contents suitable for the schedule. A computer-readable medium having recorded thereon a program for executing the method of claim 6 on a computer.

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